Devlog #1

I have a mostly trained model that is able to recognize fuel (FRC fuel, six inch bright yellow foam balls). I’m working on training it on another almost 1000 images of fuel.

Right now, its having a bit of trouble with one specific image (attached below) so I’m going to start testing similar images and see what the pattern is and why its so unconfident in identifying the fuel.

Hopefully, increasing the dataset will help the confidence and help it properly identify fuel.

It was originally trained on google collab but I’m trying to move it over to JupyterLab (can’t track hours on collab) so a lot of my logged time is from installing everything I need like ultralytics and moving everything into Jupyter. I have spent more than 20 minutes on this though lol. And also collab is annoying and you have to reinstall everything every time you leave or start a new session or are inactive for a bit.

Also, to give credit where credit is due, I’m working with one of my teammates who is helping me until I understand the software. (Also pls dont judge if I said smth wrong or stupid I’m kind of a beginner in this)